About the Book

This book provides a comprehensive overview of various statistical concepts and techniques. In first part it covers correlation coefficient, bivariate data, principles of least squares, simple linear regression, fitting of quadratic and power curves, and analysis of categorical data. Additionally, it delves into concepts of partial and multiple correlation coefficients, as well as measures of association for two-way data.
Moving on to next part it discusses population parameters, random samples, sampling distributions, standard errors, point estimation of parameters, method of moments, maximum likelihood estimation, and interval estimation. Furthermore, it introduces the , t and F distributions, along with their properties and interrelationships.
It focuses on statistical hypothesis, testing, errors, level of significance, power of a test, and the use of the central limit theorem in testing. It also covers large sample tests and confidence intervals for various parameters.
Finally, it explores tests of significance based on , t and F, as well as non-parametric tests, measurement scales, and various tests such as the run test, sign test, Wilcoxon-signed rank test, and Mann-Whitney U-test.
This book primary emphasis is on statistical analysis and inference, covering a wide array of topics such as correlation, regression, estimation, hypothesis testing, and non-parametric tests. It provides a foundational understanding of statistical concepts, their applications, and methodologies for data analysis. Additionally, it introduces key statistical distributions, sampling techniques, and measures of association, enhancing the reader’s grasp of statistical inference and analysis. By delineating the properties and applications of different statistical tools, this book serves as a valuable resource for students and practitioners in the field of statistics. It offers a structured approach to comprehending statistical principles and their practical implications, fostering a solid foundation for conducting statistical analysis and drawing meaningful inferences from data.
Overall, this book serves as a comprehensive guide to statistical concepts and methodologies, catering to individuals seeking a nuanced understanding of statistical analysis. It seamlessly integrates theoretical concepts with practical applications, elucidating the intricacies of statistical analysis, inference, and hypothesis testing. With its detailed coverage of various statistical techniques and tests, it equips readers with the essential knowledge and skills required for conducting robust statistical analysis and making informed decisions based on empirical evidence.

About the Author 

Dr. K. Naga Vihari, M.Sc., B.Ed., M.Phil., Ph.D.
Statistics Faculty,
Dept. of Statistics, S.V.University,
Tirupati.

Dr.P.VishnuPriya,
M.S.c., Ph.D.
Guest Faculty
Dept. of Statistics,
S.V.University
Tirupati

A.Vani, M.Sc.
Research scholar
Dept. of Statistics, S.V.University,
Tirupati.

Dr.Satish Kumar V M.Sc., Ph.D.
Associate Professor,
Dept.of BS & H,
Sree Rama Engineering College,
Tirupati

Prof. M. Bhupathi Naidu, M.Sc.,M.B.A.,Ph.D.
Directorate of Distance Education,
S.V.Univaersity,
Tirupati.